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--- |
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license: mit |
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language: en |
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tags: |
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- text-classification |
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- emotion |
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widget: |
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- text: "You love hurting me, huh?" |
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- text: "I know good movies, this ain't one" |
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- text: "It was fun, but I'm not going to miss you" |
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- text: "My flight is delayed.. amazing." |
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- text: "What is happening to me??" |
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- text: "This is the shit!" |
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datasets: |
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- enryu43/twitter100m_tweets |
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--- |
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Clone of [Uberduck/torchmoji](https://huggingface.co/Uberduck/torchmoji) |
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The conversion of the original model to Torch was done by 🤗: [https://github.com/huggingface/torchMoji](https://github.com/huggingface/torchMoji) |
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Not really a Bert model. Or I just don't know how to set Interference API correctly, as it gives wrong predictions when compared to the 🤗 Space. |
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Paper: [https://arxiv.org/abs/1708.00524](https://arxiv.org/abs/1708.00524) |
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Dataset: |
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* Mainly millions of tweets created around and before **-2017** which included use of emojis |
